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Chapter 1. Introduction.- Chapter 2. Data Collection, Presentation, and Yahoo Finance.- Chapter 3. Histograms and the Rate of Returns of JPM and JNJ.- Chapter 4. Numerical Summary Measures on Stock Rates of Return and Market Rates of Return.- Chapter 5. Probability Concepts and their Analysis.- Chapter 6. Discrete Random Variables and Probability Distributions.- Chapter 7. The Normal and Lognormal Distributions.- Chapter 8. Sampling Distributions and Central Limit Theorem.- Chapter 9. Other Continuous Distributions.- Chapter 10. Estimation.- Chapter 11. Hypothesis Testing.- Chapter 12. Analysis of Variance and Chi-Square Tests.- Chapter 13. Simple Linear Regression and the Correlation Coefficient.- Chapter 14. Simple Linear Regression and Correlation: Analyses and Applications.- Chapter 15. Multiple Linear Regression.- Chapter 16. Residual and Regression Assumption Analysis.- Chapter 17. Nonparametric Statistics.- Chapter 18. Time Series: Analysis, Model, and Forecasting.- Chapter 19. Index Numbers and Stock Market Indexes.- Chapter 20. Sampling Surveys: Methods and Applications.- Chapter 21. Statistical Decision Theory.- Chapter 22. Sources of Risks and their Determination.- Chapter 23. Risk-Aversion, Capital Asset Allocation, and Markowitz Portfolio Selection Model.- Chapter 24. Capital Asset Pricing Model and Beta Forecasting.- Chapter 25. Single-Index Models for Portfolio Selection.- Chapter 26. Sharpe Performance Measure and Treynor Performance Measure Approach to Portfolio Analysis.
Chapter 1. Introduction.- Chapter 2. Data Collection, Presentation, and Yahoo Finance.- Chapter 3. Histograms and the Rate of Returns of JPM and JNJ.- Chapter 4. Numerical Summary Measures on Stock Rates of Return and Market Rates of Return.- Chapter 5. Probability Concepts and their Analysis.- Chapter 6. Discrete Random Variables and Probability Distributions.- Chapter 7. The Normal and Lognormal Distributions.- Chapter 8. Sampling Distributions and Central Limit Theorem.- Chapter 9. Other Continuous Distributions.- Chapter 10. Estimation.- Chapter 11. Hypothesis Testing.- Chapter 12. Analysis of Variance and Chi-Square Tests.- Chapter 13. Simple Linear Regression and the Correlation Coefficient.- Chapter 14. Simple Linear Regression and Correlation: Analyses and Applications.- Chapter 15. Multiple Linear Regression.- Chapter 16. Residual and Regression Assumption Analysis.- Chapter 17. Nonparametric Statistics.- Chapter 18. Time Series: Analysis, Model, and Forecasting.- Chapter 19. Index Numbers and Stock Market Indexes.- Chapter 20. Sampling Surveys: Methods and Applications.- Chapter 21. Statistical Decision Theory.- Chapter 22. Sources of Risks and their Determination.- Chapter 23. Risk-Aversion, Capital Asset Allocation, and Markowitz Portfolio Selection Model.- Chapter 24. Capital Asset Pricing Model and Beta Forecasting.- Chapter 25. Single-Index Models for Portfolio Selection.- Chapter 26. Sharpe Performance Measure and Treynor Performance Measure Approach to Portfolio Analysis.
Chapter 1. Introduction.- Chapter 2. Data Collection, Presentation, and Yahoo Finance.- Chapter 3. Histograms and the Rate of Returns of JPM and JNJ.- Chapter 4. Numerical Summary Measures on Stock Rates of Return and Market Rates of Return.- Chapter 5. Probability Concepts and their Analysis.- Chapter 6. Discrete Random Variables and Probability Distributions.- Chapter 7. The Normal and Lognormal Distributions.- Chapter 8. Sampling Distributions and Central Limit Theorem.- Chapter 9. Other Continuous Distributions.- Chapter 10. Estimation.- Chapter 11. Hypothesis Testing.- Chapter 12. Analysis of Variance and Chi-Square Tests.- Chapter 13. Simple Linear Regression and the Correlation Coefficient.- Chapter 14. Simple Linear Regression and Correlation: Analyses and Applications.- Chapter 15. Multiple Linear Regression.- Chapter 16. Residual and Regression Assumption Analysis.- Chapter 17. Nonparametric Statistics.- Chapter 18. Time Series: Analysis, Model, and Forecasting.- Chapter 19.Index Numbers and Stock Market Indexes.- Chapter 20. Sampling Surveys: Methods and Applications.- Chapter 21. Statistical Decision Theory.- Chapter 22. Sources of Risks and their Determination.- Chapter 23. Risk-Aversion, Capital Asset Allocation, and Markowitz Portfolio Selection Model.- Chapter 24. Capital Asset Pricing Model and Beta Forecasting.- Chapter 25. Single-Index Models for Portfolio Selection.- Chapter 26. Sharpe Performance Measure and Treynor Performance Measure Approach to Portfolio Analysis.
Cheng-Few Lee is a Distinguished Professor of Finance at Rutgers
Business School, Rutgers University and was chairperson of the
Department of Finance from 1988–1995. He has also served on the
faculty of the University of Illinois (IBE Professor of Finance)
and the University of Georgia. He has maintained academic and
consulting ties in Taiwan, Hong Kong, China and the United States
for the past three decades. He has been a consultant to many
prominent groups including, the American Insurance Group, the World
Bank, the United Nations, The Marmon Group Inc., Wintek
Corporation, and Polaris Financial Group.Professor Lee founded the
Review of Quantitative Finance and Accounting (RQFA) in 1990 and
the Review of Pacific Basin Financial Markets and Policies (RPBFMP)
in 1998, and serves as managing editor for both journals. He was
also a co-editor of the Financial Review (1985-1991) and the
Quarterly Review of Economics and Finance (1987-1989).In thepast 42
years, Dr. Lee has written numerous textbooks ranging in subject
matters from financial management to corporate finance, security
analysis and portfolio management to financial analysis, planning
and forecasting, and business statistics. In addition, he edited
five popular books, Encyclopedia of Finance (with Alice C. Lee),
Handbook of Quantitative Finance and Risk Management (with Alice C.
Lee and John Lee), Handbook of Financial Econometrics and
Statistics, Handbook of Financial Econometrics, Mathematics,
Statistics, and Machine Learning, and Handbook of Investment
Analysis, Portfolio Management, and Financial Derivatives. Dr. Lee
has also published more than 250 articles in more than 20 different
journals in finance, accounting, economics, statistics, and
management. Professor Lee was ranked the most published
finance professor worldwide during the period 1953-2008.Professor
Lee was the intellectual force behind the creation of the new
Masters of Quantitative Finance program at Rutgers University. This
program began in 2001 and has been ranked as one of the top fifteen
quantitative finance programs in the United States. Professor Lee
started the Conference on Financial Economics and Accounting in
1989. This conference is a consortium of Rutgers University, New
York University, Temple University, University of Maryland, Georgia
State University, Tulane University, Indiana University, and
University of Toronto. This conference is the most well-known
conference in finance and accounting.
John C. Lee is Director of the Center for PBBEF Research. A
Microsoft Certified Professional in Microsoft Visual Basic and
Microsoft Excel VBA, Mr. Lee has worked over 20 years in both the
business and technical fields as an accountant, auditor, systems
analyst, as well as a business software developer. Formerly, the
Senior Technology Officer at the Chase Manhattan Bank and Assistant
Vice Presidentat Merrill Lynch, he is also the author of Business
and Financial Statistics Using Minitab 12 and Microsoft Excel 97,
as well as Financial Analysis, Planning and Forecasting with
Cheng-Few Lee and Alice Lee.
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